Integration Pareto Distribution and Pareto Analysis to Analyse and Diagnose Defects and the Root of Causes for the Air Cooling Motor

Abstract

Today the interest of industrial organizations increase about the quality subject and they work seriously to satisfy the customers who consider today the main factor in the business environment, by manufacturing quality products. Pareto distribution and Pareto analysis are used where The Pareto distribution is used to analysis the data of the defective motors to find the mean, variance, and standard deviation. Pareto Analysis is used as a tool to diagnose and analyse the defects type, causes of the critical defect and the root of cause of the critical cause for the air cooling motor.

The air cooling motor is a one of the various products that produce by the state company for electrical products. Four main defects have been diagnosed through final inspection process by the Inspection team, these are dielectric (electrical circuit), sound (noise), loss (non- pass the electrical current) and tolerance (non-accurate tolerance).

The Pareto distribution was illustrated that Dielectric defect has the highest mean but loss has the highest variance and standard deviation. The Pareto analysis was identified that the dielectric has the biggest defect with 42.24% of all defects. It has been caused by four causes, and the machine are the biggest cause, it is responsible to 50% of this defect, consumption of the rolling mold is the root of the dielectric defect with 40% of this defects.

The Pareto distribution and Pareto analysis may considered an efficient tools that could use to help company management to analyse the defects data and diagnose all the causes and cause roots of the biggest defect (dielectric defect) to determine and take any necessary corrective actions that will minimize the defective products.